Pie chart from count of values (showing the percentage)

Question

I have a dataframe like below-

df = pd.DataFrame([
    ['Fully Paid',1,1],
    ['Fully Paid',1,1],
    ['Fully Paid',1,0],
    ['Defaulted',1,0],
    ['Defaulted',1,0]
], columns=['LoanStatus', 'B', 'C'])

I am looking to plot this in a pie chart showing 60% of loan status is fully paid while 40% is defaulted. I am able to do this in a count plot but unable to do it in a pie chart –

COUNT PLOT: 

sns.countplot(x="LoanStatus",data=df)

EXPECTED:

A pie chart showing how many values are there with both the loan status along with the percentage.

Asked By: Rebooting

||

Source

Answer 1

You can do this to get the pie plot. Adjust the fmt if you want to show the value and percentage differently.

#df.LoanStatus.
df = pd.DataFrame([
    ['Fully Paid',1,1],
    ['Fully Paid',1,1],
    ['Fully Paid',1,0],
    ['Defaulted',1,0],
    ['Defaulted',1,0]
], columns=['LoanStatus', 'B', 'C'])

total = df['LoanStatus'].value_counts().values.sum()

def fmt(x):
    return '{:.1f}%n{:.0f}'.format(x, total*x/100)

plt.pie(df['LoanStatus'].value_counts().values, labels=df['LoanStatus'].value_counts().index, autopct=fmt)

Additional info – The def fmt() is a function which will be called for each entry while plotting. The value x will be the input which is the auto percent calculated (3/5100=60 and 2/5100=40). There are some more examples of using this here. The Total is calculated to get the sum of defaulted+FullyPaid (5). For each label, the returned value is basically in the string which is the input value x with 1 decimal place and a percentage symbol after it ({:.1f}%), then n which is a newline character followed by the calculated field (total*x/100) which is in the format of a whole number with no decimals ({:.0f}). If you need more information on the string formatting options, you can find it here. Hope this helps.

Answered By: Redox

Answer 2

Use custom function with Series.value_counts for percentages with counts in same pie graph:

#https://stackoverflow.com/a/71515035/2901002
def autopct_format(values):
        def my_format(pct):
            total = sum(values)
            val = int(round(pct*total/100.0))
            return '{:.1f}%n({v:d})'.format(pct, v=val)
        return my_format

s = df['LoanStatus'].value_counts()
plt.pie(s,labels = s.index, autopct=autopct_format(s))
#pandas only alternative
#s.plot.pie(autopct=autopct_format(s))

Answered By: jezrael

Pie chart from count of values (showing the percentage)

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